This study examined the extent to which relations between students' perceptions of the learning environment, academic achievement, and study approaches measured by both self-reported and process data were consistent amongst 323 engineering students in a flipped classroom course. A hierarchical cluster analysis on four self-reported scales…

As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…

Hundreds of U.S. institutions of higher education have conducted campus climate surveys recently to assess students' experiences with sexual misconduct and perceptions of institutions' related policies and procedures. Many of these surveys were implemented in response to the recommendation by the 2014 White House Task Force to Protect Students…

For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…

The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…

Undergraduate students who have just completed an introductory statistics course often lack deep understanding of variability and enthusiasm for the field of statistics. This paper argues that by introducing the commonly underemphasized concept of measurement error, students will have a better chance of attaining both. We further present lecture…

Objective: To investigate the self-concept of college students with ADHD. Method: College students with ADHD and their parents completed self-report and observer-report measures of self-concept, respectively. Results: Results indicated that college students with ADHD did not report problems with self-concept but their parents did for them. This…

Similar to other institutions, the University of Maryland, Baltimore County (UMBC) has determined that a relationship may exist between student performance as defined by grades, and activity in the campus' online course management system (CMS). Specifically, since Fall 2007, UMBC's "Most Active Blackboard Courses" reports show students…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

This paper focuses on a Web-log based tool for evaluating pedagogical processes occurring in Web-supported academic instruction and students' attitudes. The tool consists of computational measures which demonstrate what instructors and policy makers can learn about Web-supported instruction through Web-usage mining. The tool can provide different…

Considers the use of personal information given by students to teach about understanding and appreciation of data analysis in college sociology courses. Students are directed to describe their personal style by a five step process: simple measurement of personal characteristics, recoding and indexing, quantifying a dimension, discussing recoding…

The central purpose of this study was to determine to what extent views of participation in adult education would be changed if viewed through the eyes of the learner rather than through the eyes of the educator. The study report is comprised of five chapters. Chapter I contains discussions of pertinent literature, problem identification, purposes…

Defining "effective teaching" involves a general conception of education and teaching, a conception of a curricular domain and its priorities, attention to the possible conflict in values and priorities among relevant groups, recognition of "functional equivalence," a multidimensional approach to data collection, combination and reporting, and "a…